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Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.

Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.

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  1. Brunel University Research Archive

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From Inner Sense to Outer Action: Interoception and Impulsive Compulsive Behavior Disorders in Parkinson's Disease See

Background: Impulsive-compulsive behavior disorders (ICBDs) in Parkinson's disease (PD) include impulse control disorders (ICDs) and compulsive behaviors, often linked to dopaminergic treatment and altered reward processing. Interoception, the perception of internal bodily signals, plays a key role&#...

Holistic Care Clinic for People with Parkinson’s Disease: Outcome from a Newly Developed Service See

Background/Objectives: Non-motor symptoms (NMS) in Parkinson’s disease (PD), particularly neuropsychiatric disturbances such as anxiety, significantly impact quality of life. The Holistic Care Clinic for Parkinson’s disease at St George’s Hospital offers multidisciplinary assessments and personalized care to&#x...

A non‐judgmental companion: connections to the natural environment for people affected by dementia See

Background: Evidence suggests that social connections are often disrupted by a dementia diagnosis. Eco-mapping, a common practice in social work, allows the visualization of interconnected lives and permits an opportunity to explore the nature and quality of social connections, and th...

Loneliness and Life Satisfaction in Older Ethnic Minority Couples in the UK: A Dyadic Analysis of UKHLS Data See

Loneliness is independently associated with a range of health outcomes including reduced life satisfaction. Although there is a substantial body of research about loneliness in older adults in the UK, there is a significant evidence gap reporting experiences of loneliness of older peopl...

Cutting Tool Remaining Useful Life Prediction Using Multi-Sensor Data Fusion Through Graph Neural Networks and Transformers See

In the context of Industry 4.0 and smart manufacturing, predicting cutting tool remaining useful life (RUL) is crucial for enabling and enhancing the reliability and efficiency of CNC machining. This paper presents an innovative predictive model based on the data fusion architecture of&...

Market and Production Management of Air Bearings using Ontology-based Knowledge Graph and NLP See

This research presents an ontology-based framework designed to enhance market and production management for specialized Small and Medium-sized Enterprises (SMEs) in the precision manufacturing sector, using air bearings as a case study. The framework was validated through real-world applications in&#x...

Modelling of Aerostatic Bearings with Micro-Hole Restriction See

Aerostatic bearings incorporating micro-hole restrictors with diameters on the order of tens of microns demonstrate superior static and dynamic stiffness characteristics, while significantly reducing air consumption, and are increasingly adopted in precision engineering applications. This paper investigates the...

Helicopter Noise Modelling in an Urban Setting: A NORAH2 Demonstration for Cannes, France See

Urban helicopter activity is intermittent and route-focused, yet most strategic mapping tools were developed for fixed-wing traffic and long-term averages, leaving urban rotorcraft noise under-represented. In the EU, the Environmental Noise Directive (2002/49/EC) and its CNOSSOS-EU methods require...

Loss evaluation and performance modelling of power electronics for fault management and renewable energy integration See

This work presents the performance and efficiency analysis of solid-state power electronic devices in two complementary applications: fault current limiting and renewable energy integration. A solid-state Fault Current Limiting and Interrupting Device (FCLID) based on a Switched Capacitor (SC) circuit...

Machine Learning-Based Electric Vehicle Charging Demand Forecasting: A Systematized Literature Review See

The transport sector significantly contributes to global greenhouse gas emissions, making electromobility crucial in the race toward the United Nations Sustainable Development Goals. In recent years, the increasing competition among manufacturers, the development of cheaper batteries, the ongoing policy&#x...

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Author
  • 1348 Wang, Z
  • 1316 Adam, W
  • 1313 Bergauer, T
  • 1312 Dragicevic, M
  • 1311 Clerbaux, B
  • 1305 Lowette, S
  • 1299 Waltenberger, W
  • 1298 Vanlaer, P
  • 1293 Liko, D
  • 1291 Jeitler, M
  • . next >
Subject
  • 276 CMS
  • 265 Physics
  • 219 Science & Technology
  • 168 COVID-19
  • 164 Hadron-Hadron scattering (experim...
  • 139 machine learning
  • 129 deep learning
  • 117 artificial intelligence
  • 105 sustainability
  • 101 Physical Sciences
  • . next >
Date issued
  • 29227 2000 - 2026
  • 1232 1900 - 1999
  • 3 1830 - 1899
Library (c) Brunel University. Updated: December 19th,2023

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